Machine Learning-based Multiclass Classification Methods for Sentiment Analysis-Reference-Cited by-同舟云学术

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Machine Learning-based Multiclass Classification Methods for Sentiment Analysis

Published:2023-11-16 Issue: Volume:8 Page:70-74
ISSN:
Container-title:2023 7th International Conference on Information Technology (InCIT)
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Author:

Innork Kiatnumchai¹,Polpinij Jantima²,Saisangchan Umaporn²,Kaenumpornpan Manasawee²,Charoensak Rungtip²,Uttha Theeraya³,Namee Khanista⁴,Luaphol Bancha⁵,Meny Ajeej⁶

Affiliation:

1. Mahasarakham University,Faculty of Informatics,Mahasarakham,Thailand

2. Mahasarakham University,Department of Computer Science,Mahasarakham,Thailand

3. Mahasarakham University,Department of Geoinformatics,Mahasarakham,Thailand

4. King Mongkut’s University of Technology North Bangkok,Bangkok,Thailand

5. Kalasin University,Department of Business Computer,Kalasin,Thailand

6. King Saud bin Abdulaziz University for Health Sciences,Jeddah,Saudi Arabia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10412852/10412856/10413035.pdf?arnumber=10413035

Reference16 articles.

1. An Ontology-Based Sentiment Classification Methodology for Online Consumer Reviews

2. Sentiment analysis and topic classification based on binary maximum entropy classifiers;Batista;Procesamiento de Lenguaje Natural,2013

3. Sentiment analysis: From binary to multi-class classification: A pattern-based approach for multi-class sentiment analysis in Twitter

4. Sentiment classification and aspect-based sentiment analysis on yelp reviews using deep learning and word embeddings

5. Lexicon-Based Methods for Sentiment Analysis

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